Editing Chemometrics (section)

==Background==
Chemometrics is applied to solve both descriptive and predictive problems in experimental natural sciences, especially in chemistry.   In descriptive applications, properties of chemical systems are modeled with the intent of learning the underlying relationships and structure of the system (i.e., model understanding and identification).  In predictive applications, properties of chemical systems are modeled with the intent of predicting new properties or behavior of interest.  In both cases, the datasets can be small but are often large and complex, involving hundreds to thousands of variables, and hundreds to thousands of cases or observations.

Chemometric techniques are particularly heavily used in [[analytical chemistry]] and [[metabolomics]], and the development of improved chemometric methods of analysis also continues to advance the state of the art in analytical instrumentation and methodology.  It is an application-driven discipline, and thus while the standard chemometric methodologies are very widely used industrially, academic groups are dedicated to the continued development of chemometric theory, method and application development.